Study type

Study topic

Disease /health condition
Human medicinal product

Study type

Non-interventional study

Scope of the study

Effectiveness study (incl. comparative)

Data collection methods

Secondary use of data
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Name of medicine, other

Spiromax, Symbicort Turbohaler, Seretide Accuhaler

Medical condition to be studied

Asthma
Chronic obstructive pulmonary disease
Population studied

Short description of the study population

Adult Asthma and COPD patients who were on either Symbicort® Turbohaler® or Seretide® Accuhaler® during their baseline period and received a continued prescription for same inhaled corticosteroid (ICS)/long-acting β2 agonist (LABA) FDC or were changed to DuoResp® Spiromax®.

Age groups

Adults (18 to < 46 years)
Adults (46 to < 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Special population of interest

Other

Special population of interest, other

Asthma and Chronic obstructive pulmonary disease patients

Estimated number of subjects

6400
Study design details

Main study objective

To characterise patients who change to BF Spiromax from another FDC ICS/LABA and evaluate acceptability, and the real-life effectiveness and cost-effectiveness of BF Spiromax.

Outcomes

Risk Domain Control (binary), Comparison of severe exacerbation rate, treatment stability, SABA usage, and lower respiratory-related hospitalisations.Cost-effectiveness in relation to asthma- and COPD-related total and disaggregated respiratory therapy prescription costs, primary care consultation costs, and respiratory-related hospitalisation costs.

Data analysis plan

Statistically significant results will be defined as p<0.05 and trends as 0.05<p<0.10. Summary statistics will be produced for all baseline and outcome variables, for each study phase cohort. In phase 4, patients will be uniquely matched on demographics and key measures of disease severity to minimise confounding. Matching variables will be selected based on clinical review and baseline differences between the treatment groups. Matching will be conducted separate for asthma and COPD patients. The primary outcome will be analysed using conditional logistic regression, separately for asthma and COPD patients. Secondary outcomes will be analysed using conditional poisson, logistic, and ordinal logistic regression as appropriate, separately for asthma and COPD patients.
Documents
Study results
English (4.41 MB - PDF)View document